Xingyao Zhang
Artificial Intelligence · 2021
A researcher in the Science corpus: 1 paper; trusts 131 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 27 citations into it
- Computer Vision and Pattern Recognition — 26 citations into it
- Optimization & Training — 10 citations into it
- Efficiency & Compression — 7 citations into it
- Model Architectures — 7 citations into it
Whom Xingyao Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Kaiming He
- Yann LeCun
- Yoshua Bengio
- Karen Simonyan
- Sergey Ioffe
- Ilya Sutskever
- Christian Szegedy
- Diederik P. Kingma
Papers from Xingyao Zhang's perspective
Ordered by how strongly the researchers Xingyao Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Randomness In Neural Network Training: Characterizing The Impact of Tooling (2021) — 97 citations